Front Office Software Engineer – Low-Latency Trading

Goldman Sachs Bank AG; Texas; On-site; USD 140,000 - 210,000; Full time

Job summary

Goldman Sachs in Dallas, TX is seeking a Software Engineer for Global Banking & Markets, Front Office Technology. You will design and build low-latency systems supporting pricing, quoting, and hedging across instruments such as USTs, Swaps, and MBS.

The role emphasizes AI-driven analytics for pricing and risk, with a focus on scalable, reliable platforms and collaboration across engineering teams in a fast-paced environment.

Qualifications

• Advanced degree in Computer Science (or equivalent work experience).
• Minimum 2 years of relevant professional experience using a modern programming language (Java, C/C++, Python).
• Strong analytical skills, ability to quickly identify scope and impact of issues.
• Team oriented mindset with strong interpersonal and communication skills.
• Energetic, self-directed, and self-motivated.

Responsibilities

• Design and implement robust, low-latency systems crucial for pricing, quoting, and hedging a diverse range of financial instruments.
• Develop platforms that enable efficient risk and P&L management for trading desks.
• Leverage AI-driven analytics for sophisticated data analysis and predictive pricing strategies.

Skills

Java

C/C++

Python

Education

Advanced degree in Computer Science

Tools

AWS

Terraform

UNIX

Microservices

Job description

Goldman Sachs in Dallas, TX is seeking a Software Engineer for Global Banking & Markets, Front Office Technology. You will design and build low-latency systems supporting pricing, quoting, and hedging across instruments such as USTs, Swaps, and MBS.

The role emphasizes AI-driven analytics for pricing and risk, with a focus on scalable, reliable platforms and collaboration across engineering teams in a fast-paced environment.